TRACK #1: AI Applications for Holistic Smart City Management

CHAIRS

Ahmed Youssef, Egypt University of Informatics, Egypt
Massimo Martinelli, Institute of Information Science and Technologies, CNR, Italy
Ankit R. Patel, University of Minho Guimaraes, Portugal

Description

This track focuses on the foundational technologies and methodologies that enable the development of AI-driven smart cities. It emphasizes the integration of intelligent systems and infrastructures to enhance urban life through innovation, sustainability, and connectivity.

Subfields of Interest (not limited to):

• Smart Urban Planning: Techniques for modeling and simulating urban growth and infrastructure needs using AI;
• Real-time Data Processing: Systems that analyze large datasets from IoT devices for timely decision-making;
• Waste Management Optimization: AI-driven solutions for monitoring waste generation, improving recycling rates, and optimizing collection routes;
• Sustainability Metrics: Methods for assessing and enhancing sustainability practices in urban settings;
• Citizen-Centric Services: Development of platforms for citizen engagement, participatory governance, and community-driven initiatives;
• Infrastructure Resilience: Approaches to predict and manage vulnerabilities and failures in urban infrastructure;
• Smart Living and Governance: A holistic development of people and governance. It includes smart education, health, culture, housing, citizen safety, IT connectivity, and online citizen services.